#28 Introducing The SpaceNet 7 Challenge: Multi-Temporal Urban Development Training_Data podcast

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#28 Introducing the SpaceNet 7 Challenge: Multi-Temporal Urban Development

4y ago 50:54

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Indhold leveret af CosmiQ Works. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af CosmiQ Works eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. The Multi-Temporal Urban Development SpaceNet 7 Challenge focuses on developing novel computer vision methods for non-video time series data, asking participants to identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas. In this episode, CosmiQ’s Ryan Lewis, Adam Van Etten, and Daniel Hogan are joined by Planet’s Jesus Martinez Manzo and AWS Disaster Response’s Grace Kitzmiller to explore this new challenge.

Learn more at www.spacenet.ai, and at the DownLinQ (https://medium.com/the-downlinq)

… continue reading

30 episoder

#Open Source #CosmiQ Works #Arts

Artwork

#28 Introducing the SpaceNet 7 Challenge: Multi-Temporal Urban Development

14 subscribers

published 4y ago

Del

MP3•Episode hjem

Indhold leveret af CosmiQ Works. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af CosmiQ Works eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. The Multi-Temporal Urban Development SpaceNet 7 Challenge focuses on developing novel computer vision methods for non-video time series data, asking participants to identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas. In this episode, CosmiQ’s Ryan Lewis, Adam Van Etten, and Daniel Hogan are joined by Planet’s Jesus Martinez Manzo and AWS Disaster Response’s Grace Kitzmiller to explore this new challenge.

Learn more at www.spacenet.ai, and at the DownLinQ (https://medium.com/the-downlinq)

… continue reading

30 episoder

#Open Source #CosmiQ Works #Arts

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